{"total":122,"rows":[{"id":"2406.15927","title":"Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs","created":"2024-06-22","cited_by_count":259,"area":null},{"id":"2311.08298","title":"A Survey of Confidence Estimation and Calibration in Large Language Models","created":"2023-11-14","cited_by_count":256,"area":null},{"id":"2502.18581","title":"Scalable Best-of-N Selection for Large Language Models via Self-Certainty","created":"2025-02-25","cited_by_count":187,"area":"lr"},{"id":"2503.15850","title":"Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey","created":"2025-03-20","cited_by_count":95,"area":"lr"},{"id":"2408.04667","title":"Non-Determinism of \"Deterministic\" LLM Settings","created":"2024-08-06","cited_by_count":92,"area":null},{"id":"2412.14737","title":"On Verbalized Confidence Scores for LLMs","created":"2024-12-19","cited_by_count":83,"area":null},{"id":"2403.20279","title":"LUQ: Long-text Uncertainty Quantification for LLMs","created":"2024-03-29","cited_by_count":81,"area":null},{"id":"2506.09937","title":"SAFE: Multitask Failure Detection for Vision-Language-Action Models","created":"2025-06-11","cited_by_count":80,"area":"vla"},{"id":"2401.05654","title":"Towards Conversational Diagnostic AI","created":"2024-01-11","cited_by_count":79,"area":null},{"id":"2503.00172","title":"A Survey of Uncertainty Estimation Methods on Large Language Models","created":"2025-02-28","cited_by_count":62,"area":null},{"id":"2410.15326","title":"A Survey of Uncertainty Estimation in LLMs: Theory Meets Practice","created":"2024-10-20","cited_by_count":55,"area":null},{"id":"2407.14507","title":"Internal Consistency and Self-Feedback in Large Language Models: A Survey","created":"2024-07-19","cited_by_count":50,"area":"lr"},{"id":"2402.11756","title":"MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs","created":"2024-02-19","cited_by_count":46,"area":null},{"id":"2412.12472","title":"Knowledge Boundary of Large Language Models: A Survey","created":"2024-12-17","cited_by_count":40,"area":null},{"id":"2402.12264","title":"Uncertainty quantification in fine-tuned LLMs using LoRA ensembles","created":"2024-02-19","cited_by_count":37,"area":null},{"id":"2402.06544","title":"Calibrating Long-form Generations from Large Language Models","created":"2024-02-09","cited_by_count":32,"area":null},{"id":"2409.03219","title":"Content Moderation by LLM: From Accuracy to Legitimacy","created":"2024-09-05","cited_by_count":30,"area":null},{"id":"2410.22685","title":"Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings","created":"2024-10-30","cited_by_count":30,"area":null},{"id":"2502.04964","title":"Uncertainty Quantification for LLMs through Minimum Bayes Risk: Bridging Confidence and Consistency","created":"2025-02-07","cited_by_count":30,"area":null},{"id":"2406.03441","title":"Cycles of Thought: Measuring LLM Confidence through Stable Explanations","created":"2024-06-05","cited_by_count":29,"area":"lr"},{"id":"2408.02085","title":"Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models","created":"2024-08-04","cited_by_count":29,"area":"alignment"},{"id":"2502.17026","title":"Understanding the Uncertainty of LLM Explanations: A Perspective Based on Reasoning Topology","created":"2025-02-24","cited_by_count":25,"area":"lr"},{"id":"2406.11278","title":"Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs","created":"2024-06-17","cited_by_count":23,"area":null},{"id":"2407.00994","title":"LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation","created":"2024-07-01","cited_by_count":23,"area":null},{"id":"2601.08605","title":"ExpSeek: Self-Triggered Experience Seeking for Web Agents","created":"2026-01-13","cited_by_count":23,"area":"agents"},{"id":"2506.07461","title":"From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered","created":"2025-06-09","cited_by_count":21,"area":null},{"id":"2406.07457","title":"Estimating the Hallucination Rate of Generative AI","created":"2024-06-11","cited_by_count":20,"area":null},{"id":"2406.19097","title":"Fairness and Bias in Multimodal AI: A Survey","created":"2024-06-27","cited_by_count":20,"area":"mllm"},{"id":"2412.15176","title":"Rethinking Uncertainty Estimation in LLMs: A Principled Single-Sequence Measure","created":"2024-12-19","cited_by_count":18,"area":"lr"},{"id":"2502.16820","title":"Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses","created":"2025-02-24","cited_by_count":18,"area":null},{"id":"2504.19254","title":"Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble Scorers","created":"2025-04-27","cited_by_count":18,"area":null},{"id":"2502.14634","title":"CER: Confidence Enhanced Reasoning in LLMs","created":"2025-02-20","cited_by_count":17,"area":"lr"},{"id":"2507.14958","title":"MUR: Momentum Uncertainty guided Reasoning for Large Language Models","created":"2025-07-20","cited_by_count":17,"area":"lr"},{"id":"2311.15451","title":"Uncertainty-aware Language Modeling for Selective Question Answering","created":"2023-11-26","cited_by_count":16,"area":null},{"id":"2505.24778","title":"Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models' Uncertainty?","created":"2025-05-30","cited_by_count":16,"area":null},{"id":"2505.24858","title":"MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs","created":"2025-05-30","cited_by_count":16,"area":null},{"id":"2407.02039","title":"Prompt Stability Scoring for Text Annotation with Large Language Models","created":"2024-07-02","cited_by_count":15,"area":null},{"id":"2407.12835","title":"Regurgitative Training: The Value of Real Data in Training Large Language Models","created":"2024-07-03","cited_by_count":15,"area":"synth"},{"id":"2407.15814","title":"Perceptions of Linguistic Uncertainty by Language Models and Humans","created":"2024-07-22","cited_by_count":15,"area":null},{"id":"2405.20441","title":"SECURE: Benchmarking Large Language Models for Cybersecurity","created":"2024-05-30","cited_by_count":14,"area":null},{"id":"2502.06207","title":"Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement","created":"2025-02-10","cited_by_count":14,"area":null},{"id":"2503.12651","title":"VeriLA: A Human-Centered Evaluation Framework for Interpretable Verification of LLM Agent Failures","created":"2025-03-16","cited_by_count":14,"area":"agents"},{"id":"2503.19168","title":"Language Model Uncertainty Quantification with Attention Chain","created":"2025-03-24","cited_by_count":14,"area":null},{"id":"2505.17126","title":"Conformal Language Model Reasoning with Coherent Factuality","created":"2025-05-21","cited_by_count":14,"area":"lr"},{"id":"2407.11282","title":"Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models","created":"2024-07-15","cited_by_count":13,"area":"safety"},{"id":"2503.02233","title":"Enhancing LLM Reliability via Explicit Knowledge Boundary Modeling","created":"2025-03-04","cited_by_count":13,"area":null},{"id":"2407.19638","title":"On the Reliability of Large Language Models for Causal Discovery","created":"2024-07-29","cited_by_count":12,"area":null},{"id":"2510.12040","title":"Uncertainty Quantification for Hallucination Detection in Large Language Models: Foundations, Methodology, and Future Directions","created":"2025-10-14","cited_by_count":11,"area":null},{"id":"2310.00259","title":"AutoHall: Automated Factuality Hallucination Dataset Generation for Large Language Models","created":"2023-09-30","cited_by_count":10,"area":null},{"id":"2411.02454","title":"Graph-based Confidence Calibration for Large Language Models","created":"2024-11-03","cited_by_count":10,"area":null},{"id":"2411.08534","title":"Neural Topic Modeling with Large Language Models in the Loop","created":"2024-11-13","cited_by_count":10,"area":null},{"id":"2505.20047","title":"Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks","created":"2025-05-26","cited_by_count":10,"area":"lr"},{"id":"2512.24661","title":"Do Large Language Models Know What They Are Capable Of?","created":"2025-12-31","cited_by_count":10,"area":null},{"id":"2602.01288","title":"EDIS: Diagnosing LLM Reasoning via Entropy Dynamics","created":"2026-02-01","cited_by_count":10,"area":"lr"},{"id":"2506.04089","title":"AmbiK: Dataset of Ambiguous Tasks in Kitchen Environment","created":"2025-06-04","cited_by_count":9,"area":null},{"id":"2507.06196","title":"UQLM: A Python Package for Uncertainty Quantification in Large Language Models","created":"2025-07-08","cited_by_count":9,"area":null},{"id":"2509.01564","title":"Enhancing Uncertainty Estimation in LLMs with Expectation of Aggregated Internal Belief","created":"2025-09-01","cited_by_count":9,"area":null},{"id":"2512.22245","title":"Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation","created":"2025-12-23","cited_by_count":9,"area":"mechinterp"},{"id":"2412.12767","title":"A Survey of Calibration Process for Black-Box LLMs","created":"2024-12-17","cited_by_count":8,"area":null},{"id":"2502.18108","title":"Uncertainty Quantification in Retrieval Augmented Question Answering","created":"2025-02-25","cited_by_count":8,"area":"rag"},{"id":"2505.23837","title":"CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language","created":"2025-05-28","cited_by_count":8,"area":"agents"},{"id":"2506.17939","title":"GEMeX-RMCoT: An Enhanced Med-VQA Dataset for Region-Aware Multimodal Chain-of-Thought Reasoning","created":"2025-06-22","cited_by_count":8,"area":"lr"},{"id":"2507.03279","title":"Conformal Information Pursuit for Interactively Guiding Large Language Models","created":"2025-07-04","cited_by_count":7,"area":null},{"id":"2604.08708","title":"Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition","created":"2026-04-09","cited_by_count":7,"area":"agents"},{"id":"2409.03225","title":"Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration","created":"2024-09-05","cited_by_count":6,"area":null},{"id":"2410.06431","title":"Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs","created":"2024-10-09","cited_by_count":6,"area":null},{"id":"2504.00446","title":"Exposing the Ghost in the Transformer: Abnormal Detection for Large Language Models via Hidden State Forensics","created":"2025-04-01","cited_by_count":6,"area":"safety"},{"id":"2507.07236","title":"Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification","created":"2025-07-09","cited_by_count":6,"area":null},{"id":"2601.11004","title":"NOVA: NOise-aware Verbal Confidence CAlibration for Robust Large Language Models in RAG Systems","created":"2026-01-16","cited_by_count":6,"area":"rag"},{"id":"2409.03021","title":"CLUE: Concept-Level Uncertainty Estimation for Large Language Models","created":"2024-09-04","cited_by_count":5,"area":null},{"id":"2503.10628","title":"Uncertainty in Action: Confidence Elicitation in Embodied Agents","created":"2025-03-13","cited_by_count":5,"area":null},{"id":"2504.18346","title":"Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review","created":"2025-04-25","cited_by_count":4,"area":null},{"id":"2601.10645","title":"Influential Training Data Retrieval for Explaining Verbalized Confidence of LLMs","created":"2026-01-15","cited_by_count":4,"area":null},{"id":"2602.17431","title":"Fine-Grained Uncertainty Quantification for Long-Form Language Model Outputs: A Comparative Study","created":"2026-02-19","cited_by_count":4,"area":null},{"id":"2405.13845","title":"Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space","created":"2024-05-22","cited_by_count":3,"area":null},{"id":"2503.21157","title":"Real-Time Evaluation Models for RAG: Who Detects Hallucinations Best?","created":"2025-03-27","cited_by_count":3,"area":"rag"},{"id":"2507.06489","title":"On the Robustness of Verbal Confidence of LLMs in Adversarial Attacks","created":"2025-07-09","cited_by_count":3,"area":null},{"id":"2510.05871","title":"Towards Label-Free Biological Reasoning Synthetic Dataset Creation via Uncertainty Filtering","created":"2025-10-07","cited_by_count":3,"area":"lr"},{"id":"2601.08064","title":"Calibration Is Not Enough: Evaluating Confidence Estimation Under Language Variations","created":"2026-01-12","cited_by_count":3,"area":null},{"id":"2601.11037","title":"BAPO: Boundary-Aware Policy Optimization for Reliable Agentic Search","created":"2026-01-16","cited_by_count":3,"area":"agents"},{"id":"2601.15773","title":"Next Generation Active Learning: Mixture of LLMs in the Loop","created":"2026-01-22","cited_by_count":3,"area":null},{"id":"2602.00279","title":"Semantic Calibration Prevails Where Token Confidence Fails: Benchmarking Long-Form Scientific QA","created":"2026-01-30","cited_by_count":3,"area":null},{"id":"2603.18014","title":"Real-Time Trustworthiness Scoring for LLM Structured Outputs and Data Extraction","created":"2026-02-24","cited_by_count":3,"area":null},{"id":"2605.28500","title":"Functional Entropy: Predicting Functional Correctness in LLM-Generated Code with Uncertainty Quantification","created":"2026-05-27","cited_by_count":3,"area":null},{"id":"2411.09689","title":"Probing LLM Hallucination from Within: Perturbation-Driven Approach via Internal Knowledge","created":"2024-11-14","cited_by_count":2,"area":null},{"id":"2412.06033","title":"Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective","created":"2024-12-08","cited_by_count":2,"area":null},{"id":"2412.15683","title":"Variability Need Not Imply Error: The Case of Adequate but Semantically Distinct Responses","created":"2024-12-20","cited_by_count":2,"area":null},{"id":"2503.12528","title":"Investigating Human-Aligned Large Language Model Uncertainty","created":"2025-03-16","cited_by_count":2,"area":"alignment"},{"id":"2507.17442","title":"Confident RAG: Enhancing the Performance of LLMs for Mathematics Question Answering through Multi-Embedding and Confidence Scoring","created":"2025-07-23","cited_by_count":2,"area":"lr"},{"id":"2508.19096","title":"Trustworthy Agents for Electronic Health Records through Confidence Estimation","created":"2025-08-26","cited_by_count":2,"area":"agents"},{"id":"2509.20415","title":"Online-Optimized RAG for Tool Use and Function Calling","created":"2025-09-24","cited_by_count":2,"area":"rag"},{"id":"2510.13836","title":"SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models","created":"2025-10-10","cited_by_count":2,"area":null},{"id":"2512.03101","title":"ALARM: Automated MLLM-Based Anomaly Detection in Complex-EnviRonment Monitoring with Uncertainty Quantification","created":"2025-12-01","cited_by_count":2,"area":"mllm"},{"id":"2605.10415","title":"Aligning LLM Uncertainty with Human Disagreement in Subjectivity Analysis","created":"2026-05-11","cited_by_count":2,"area":null},{"id":"2605.28778","title":"Can LLMs Use Linguistic Uncertainty Markers to Reliably Reflect Intrinsic Confidence?","created":"2026-05-27","cited_by_count":2,"area":null},{"id":"2606.19868","title":"A Systematic Evaluation of Black-Box Uncertainty Estimation Methods for Large Language Models","created":"2026-06-18","cited_by_count":2,"area":null},{"id":"2606.24420","title":"Beyond Logprobs: A Multi-Signal Confidence Engine for LLM-Based Document Field Extraction","created":"2026-06-23","cited_by_count":2,"area":null},{"id":"2503.05505","title":"Correctness Coverage Evaluation for Medical Multiple-Choice Question Answering Based on the Enhanced Conformal Prediction Framework","created":"2025-03-07","cited_by_count":1,"area":null},{"id":"2504.03640","title":"Bonsai: Interpretable Tree-Adaptive Grounded Reasoning","created":"2025-04-04","cited_by_count":1,"area":null},{"id":"2505.04152","title":"SocialLM: Social Signal Processing of Patient-Provider Communication using LLMs and Contextual Aggregation","created":"2025-05-07","cited_by_count":1,"area":null}],"next_cursor":"100"}